Michel E. D. Chaves
Orcid: 0000-0002-1498-6830Affiliations:
- National Institute for Space Research (INPE), São José dos Campos, SP, Brazil
According to our database1,
Michel E. D. Chaves
authored at least 14 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on bv.fapesp.br
On csauthors.net:
Bibliography
2024
Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review.
Remote. Sens., March, 2024
2023
Correction: Mataveli et al. Mining Is a Growing Threat within Indigenous Lands of the Brazilian Amazon. Remote Sens. 2022, 14, 4092.
Remote. Sens., 2023
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023
Detecting Irrigated Croplands: A Comparative Study With Segment Anything Model And Region-Growing Algorithm.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023
Assessing The Influence Of Borders And Roads On The Segmentation Of Rice Fields: A Case Study.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023
2022
Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data.
Remote. Sens., 2022
Remote. Sens., 2022
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
2021
Reply to Comment on "Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest".
Remote. Sens., 2021
2020
Comparison of Cloud Cover Detection Algorithms on Sentinel-2 Images of the Amazon Tropical Forest.
Remote. Sens., 2020
Remote. Sens., 2020
Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review.
Remote. Sens., 2020
2019
Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019
2018
A Geostatistical Approach for Modeling Soybean Crop Area and Yield Based on Census and Remote Sensing Data.
Remote. Sens., 2018